Lexical, ontological, as well as encyclopedic knowledge is increasingly being encoded in machine-readable form. This paper deals with knowledge representation in multilingual settings. It begins by proposing a generic graph-based knowledge base framework, and then, in three case studies, explains how preexisting knowledge can be cast into this framework. The first case study involves enriching ...

-Possibilistic logic and Bayesian networks have provided advantageous methodologies and techniques for computerbased knowledge representation. This paper proposes a framework that combines these two disciplines to exploit their own advantages in uncertain and imprecise knowledge representation problems. The framework proposed is a possibilistic logic based one in which Bayesian nodes and their ...

This study examines how firms choose organizational form for their R&D alliances. Encouraging cooperation in these alliances is often challenging, given the difficulties in knowledge sharing between partners and protecting the property rights over partner knowledge. Interestingly, knowledge based and transaction cost perspectives generate different hypotheses on alliance organization choice in ...

An important aspect of context in medical reasoning is the notion of "variation" of a chunk of knowledge according to various contingencies, such as course of patient's disease, response to therapies, or team specificity. Our position is to represent these variations implicitly, by proposing mechanisms to factor knowledge and to refine it. We propose three mutually compatible mechanisms that ef...

Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory information. All such formalisms are computationally demanding. Hence, optimizing argumentative systems has been approached from di®erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approac...

Knowledge ‘decay’ is a measure of the degradation of knowledge integrity. In a unified knowledge representation, data, information and knowledge are all represented in a single formalism as “items”. A unified knowledge representation is extended here to include two measures of knowledge integrity. A rule of inference is defined on the unified knowledge representation that preserves the validity...

In this paper, we describe a novel approach to the generation of reusable computer-based assets to support the production and customis ation of learning materials for user and environment constrained learning scenarios. We present a framework for learning which proposes that navigating within a space of many models overcomes limitations inherent in mono-model approaches to learning contextualis...

This paper addresses verification issues in combining knowledge bases or theories from different sources. Tile knowledge may be acquired using direct knowledge acquisition or inductive learning methods. Keeping the consistency of knowledge becomes all important issue when integrating two or more knowledge bases. Several independently consistent knowledge bases may give an inconsistent system wh...